HGladiator

This is the "Iris" dataset. Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and visualizations (for example, Scatter Plot). Each row of the table represents an iris flower, including its species and dimensions of its botanical parts, sepal and petal, in centimeters.

The HTML page provides the basic code required to load the data and display it on the page (as JSON) using D3.js.

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HGladiator

import org.apache.hadoop.hbase.util.Bytes
import org.apache.hadoop.hbase.{HColumnDescriptor, HTableDescriptor, TableName, HBaseConfiguration}
import org.apache.hadoop.hbase.client._
import org.apache.spark.SparkContext
import scala.collection.JavaConversions._

/**
 * HBase 1.0.0 新版API, CRUD 的基本操作代码示例
 **/
object HBaseNewAPI {

HGladiator

git init                                                  # 初始化本地git仓库（创建新仓库）
git init [project-name]                                   # 新建一个目录，将其初始化为Git代码库
git config --list                                         # 显示当前的Git配置
git config -e --global                                    # 编辑Git配置文件
git config --global user.name "xxx"                       # 配置用户名
git config --global user.email "xxx@xxx.com"              # 配置邮件
git config --global color.ui true                         # git status等命令自动着色
git config --global color.status auto
git config --global color.diff auto
git config --global color.branch auto

HGladiator

//CHECK ishassan/build.sbt as well
import org.apache.hadoop.hbase.client._
import org.apache.hadoop.hbase.util.Bytes
import org.apache.hadoop.hbase.{CellUtil, HBaseConfiguration, TableName}
import org.apache.hadoop.conf.Configuration
import scala.collection.JavaConverters._

object ScalaHBaseExample extends App{

  def printRow(result : Result) = {